Abstract
Personal reputation in online social networks is fundamentally different from privacy and has significantly different traits than enterprise reputation. We argue that personal reputation cannot be effectively managed and defended using contemporary online social networks privacy tools. In this paper, we propose a novel model for personal reputation management based on the concept of stratified privacy. We show that users of stratified privacy are better prepared to combat online harassment and reputation damage than traditional online social networks privacy based models, and are able to limit the damage to a minimum using the proposed tools. We also propose a declarative language, called GreenShip, that can be easily codified into a Facebook like convenient interface for social interaction for reputation defense in intuitive and exible ways. ?c 2017 Copyright held by the owner/author(s).
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CITATION STYLE
Jamil, H. M. (2017). Using stratified privacy for personal reputation defense in online social networks. In Proceedings of the ACM Symposium on Applied Computing (Vol. Part F128005, pp. 1037–1044). Association for Computing Machinery. https://doi.org/10.1145/3019612.3019813
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